- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2398-6352
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Predicting scheduled hospital attendance with artificial intelligence ; volume:2 ; number:1 ; day:12 ; month:4 ; year:2019 ; pages:1-7 ; date:12.2019
npj digital medicine ; 2, Heft 1 (12.4.2019), 1-7, 12.2019
- Urheber
-
Nelson, Amy
Herron, Daniel
Rees, Geraint
Nachev, Parashkev
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41746-019-0103-3
- URN
-
urn:nbn:de:101:1-2019042800345174375440
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Nelson, Amy
- Herron, Daniel
- Rees, Geraint
- Nachev, Parashkev
- SpringerLink (Online service)
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